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Dynamic Business Model Analysis for Strategic Foresight in Production Networks

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Robust Manufacturing Control

Part of the book series: Lecture Notes in Production Engineering ((LNPE))

Abstract

In today’s uncertain business environments, many small and medium-sized firms organize their production resources and processes within networks. As a consequence, these firms are increasingly connected through a complex and dynamic pattern of inter-organizational flows of material and information. Within such networks, approaches focusing on a single firm’s perspective are inadequate strategic foresight. However, approaches, that explicitly consider the network perspective to enhance single firm perspectives, help firms to align flexibility with uncertainty to achieve greater robustness of their strategies. This chapter combines the introduction of a methodological approach with the practical experience from the application within a research project consisting of different application partners. Thereby, it shows an unconventional way of applying system dynamics within a strategic foresight approach in production networks. By demonstrating the application of the approach within an illustrative example, important modeling steps are shown and crucial tasks are evaluated.

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Acknowledgments

This research is supported by the German Federal Ministry of Education and Research (BMBF) within the framework “Research for the Production of Tomorrow” and coordinated by the Project Management Agency Karlsruhe (PTKA) from the Karlsruhe Institute of Technology.

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Correspondence to Hans-Christian Haag .

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Haag, HC., Tilebein, M. (2013). Dynamic Business Model Analysis for Strategic Foresight in Production Networks. In: Windt, K. (eds) Robust Manufacturing Control. Lecture Notes in Production Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30749-2_37

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  • DOI: https://doi.org/10.1007/978-3-642-30749-2_37

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30748-5

  • Online ISBN: 978-3-642-30749-2

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